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Entry Level Machine Learning Engineer Jobs in Toronto, ON

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

Experience integrating Machine Learning and Generative AI solutions into production-grade ... Hands-on experience in other programming language/scripting language and development stack (Java ...

DataVisor

Delivery Engineer - Canada

Toronto, ON · On-site

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

DataVisor

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

YuJa Inc.

AI Engineer

Toronto, ON · On-site

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in ...

Royal Bank of Canada

System Engineer

Toronto, ON · On-site

Experience on Machine Learning projects. * Experience deploying, monitoring, and debugging ... DevOps, ETL Processing, GitHub, GitHub Actions, GitHub Copilot, Linux, Machine Learning (ML ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Model and design databases and data architectures to support advanced analytics, machine learning ... Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.

HeyGen

Research Engineer

Toronto, ON · On-site

A Master's or PhD in Computer Science, Engineering, or a related field * 1-3 years of experience in machine learning and computer vision, demonstrating practical application of generative models and ...

Wisedocs AI

Senior Front End Engineer

Toronto, ON · On-site

In this role, you'll lead a small engineering team while designing and implementing front-end features for our automation platform and machine learning engine. You'll work directly with customers to ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Toronto, ON

Entry Level Machine Learning Engineer information

See Toronto, ON salary details

$20K

$83.2K

$177.5K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level machine learning engineer in Toronto, ON is $83,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,990.00 and $94,002.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Toronto, ON? For Entry Level Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Toronto, ON are:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 16% Internship, and 84% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $83,214 per year, or $40 per hour.

Software Design Engineering (Artificial Intelligence) Co-op Student

Alabama Industrial Development Training

Woodbridge, ON • On-site

Other

Vision

Posted 13 days ago

Job description

Martinrea
Martinrea is a diversified global automotive supplier engaged in the design, development and manufacturing of highly engineered, value-added Lightweight Structure and Propulsion Systems.
Job Summary
As a Software Design Engineering Co-op you will be joining the process innovation team focused on building the factory of the future. We are a young and ambitious team developing high-tech cutting-edge products for improving the quality & efficiency of our automated production while improving the lives of our staff/colleagues.
Your role will be part of our Computer Vision team where you will be developing products to improve the quality of the parts we make and modernize common manufacturing processes.
Topics may include: camera hardware interfacing, vision analysis pipelines, machine learning, GPU computing, etc.
The broader team is also responsible for building autonomous vehicles, web apps, and a broad all-encompassing development framework/platform for building, developing, and deploying our solutions. This is a fully in-person role.

Required Skills
Hard Minimum Qualifications

  • Proficient with Python, data structures, and algorithms
  • Experience working with Linux-based operating systems (such as: Debian, Ubuntu)

Expected Qualifications

  • Currently enrolled in and returning to a post-secondary Engineering, Computer Science, Software Engineering, Mechatronics, Robotics, or related program.
  • Strong proficiency in Python, data structures, and algorithms.
  • Experience developing software projects beyond academic coursework.
  • Experience with Linux and Git-based development workflows.
  • Comfortable applying mathematical concepts such as linear algebra in code.
  • Experience with at least one of: Computer Vision, Machine Learning, Robotics, or Embedded Systems.
  • Ability to independently debug and solve complex technical problems. 

Bonus Points

  • Developed computer vision applications using OpenCV.
  • Experience with C++, CUDA, Raspberry Pi, NVIDIA Jetson, or similar technologies.
  • Experience working with cameras, sensors, robots, or industrial hardware.
  • Completed courses such as Computer Vision, Machine Learning, Linear Algebra II, or advanced Algorithms/Data Structures.
  • Participated in robotics teams, engineering design teams, research projects, hackathons, open-source projects, or technical competitions.
  • Demonstrated leadership through technical projects, student organizations, or engineering teams 

Tools and Skills You May Develop

  • Advanced software development in Python and C++.
  • GPU computing and optimization using CUDA.
  • Industrial computer vision system design and deployment.
  • Camera hardware, optics, and image sensor technologies.
  • Machine learning and deep learning for image analysis.
  • OpenCV and custom vision algorithm development.
  • Embedded and edge-computing deployment.
  • Real-world application of mathematics to engineering problems

What Success Looks Like

  • Develop production-quality software used in automotive manufacturing.
  • Design, test, and deploy computer vision systems on production equipment.
  • Troubleshoot complex software, hardware, and vision-system issues.
  • Take ownership of projects from concept through deployment.
  • Collaborate effectively with engineers, technicians, and plant personnel.

MUST BE AVAILABLE FOR 8 MONTH OR 12 MONTH CO-OP. 

Artificial intelligence may be used during the recruitment process to screen, assess, or select applicants

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